Optimizing spectrum sensing efficiency in cognitive radio networks

L. Yang, S. H. Song, K. B. Letaief

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Cognitive Radio (CR) is a promising solution to meet the increasing demands of wireless communications by letting the secondary users (SUs) opportunistically utilize the spectrum licensed to primary users (PUs). For this purpose, spectrum sensing is an inevitable step to identify the available spectrum holes for the SUs. Cooperative spectrum sensing (CSS) is a powerful method which outperforms conventional single-user sensing technology due to multiuser diversity. To apply CSS, the fusion rule in the fusion center (FC) plays an important rule in obtaining a satisfying sensing performance. In this paper, we shall investigate the optimal fusion rule for combining hard decisions from energy-based detectors so as to maximize the spectrum sensing efficiency. For a given false alarm probability requirement, we will determine the optimal threshold for the K/N fusion rule. It is shown that the K/N fusion rule outperforms the AND and OR fusion rules in terms of sensing efficiency.

Original languageEnglish
Title of host publication2012 Computing, Communications and Applications Conference, ComComAp 2012
Pages262-266
Number of pages5
DOIs
Publication statusPublished - 7 May 2012
Event2012 Computing, Communications and Applications Conference, ComComAp 2012 - Hong Kong, China
Duration: 11 Jan 201213 Jan 2012

Publication series

Name2012 Computing, Communications and Applications Conference, ComComAp 2012

Other

Other2012 Computing, Communications and Applications Conference, ComComAp 2012
CountryChina
CityHong Kong
Period11/1/1213/1/12

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Keywords

  • Cognitive radio
  • cooperative spectrum sensing
  • fusion rule

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Yang, L., Song, S. H., & Letaief, K. B. (2012). Optimizing spectrum sensing efficiency in cognitive radio networks. In 2012 Computing, Communications and Applications Conference, ComComAp 2012 (pp. 262-266). [6154854] (2012 Computing, Communications and Applications Conference, ComComAp 2012). https://doi.org/10.1109/ComComAp.2012.6154854